Pith Number
pith:AK53QFNG
pith:2026:AK53QFNGCKVFZJMPRLYMP5PVUM
not attested
not anchored
not stored
refs pending
SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language Models
arxiv:2606.07705 v1 · 2026-06-05 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AK53QFNGCKVFZJMPRLYMP5PVUM}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-06-09T01:04:49.798047Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
02bbb815a612aa5ca58f8af0c7f5f5a32f518c5b728cfdf61a2a711ae175ac53
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AK53QFNGCKVFZJMPRLYMP5PVUM \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 02bbb815a612aa5ca58f8af0c7f5f5a32f518c5b728cfdf61a2a711ae175ac53
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5eae22ef2f6c1defbd29f76d73606ee9b8079cb6d42dcdc55c7d47bbca5c8fc7",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-05T10:00:19Z",
"title_canon_sha256": "d61a14e73fcca1dab14159bffbfc4fa0e20f3073d56eb82b7d1a548e7e8c65a9"
},
"schema_version": "1.0",
"source": {
"id": "2606.07705",
"kind": "arxiv",
"version": 1
}
}